代码搜索：algorith
找到约 373 项符合「algorith」的源代码
代码结果 373
www.eeworm.com/read/373460/2761986
m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/373069/2767186
m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/366959/2857649
m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/266483/4272284
m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/367442/9748270
m fisherk.m
function [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
% FISHERK learns the Fisher classifier using Kozinec's rule.
% [alphas,solution,t]=fisherk(X,J,K,tmax,t,alphas)
%
% FISHERK This algorith
www.eeworm.com/read/388072/8637652
m eof_t.m
function [V,EOFs,EC,error]=EOF_T(D,p)
% function [V,EOFs,EC,error]=EOF_T(D,p)
%
% This function decomposes a data set D into its EOFs
% and eigenvalues V. The most effecient algorith proposed by
www.eeworm.com/read/284998/8878706
cpp binder2.cpp
//: C05:Binder2.cpp
// From Thinking in C++, 2nd Edition
// Available at http://www.BruceEckel.com
// (c) Bruce Eckel 2000
// Copyright notice in Copyright.txt
// More binders
#include
www.eeworm.com/read/284881/8885273
m eof_t.m
function [V,EOFs,EC,error]=EOF_T(D,p)
% function [V,EOFs,EC,error]=EOF_T(D,p)
%
% This function decomposes a data set D into its EOFs
% and eigenvalues V. The most effecient algorith proposed by
www.eeworm.com/read/284782/8898758
m sar_panel.m
function results = sar_panel(y,x,W,T,info)
% PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods)
% y = p*W*y + X*b + e, using sparse matrix algorith
www.eeworm.com/read/382927/8990215
m sar_panel.m
function results = sar_panel(y,x,W,T,info)
% PURPOSE: computes spatial lag model estimates for spatial panels (N regions*T time periods)
% y = p*W*y + X*b + e, using sparse matrix algorith